Peng Mao

101 total papers · 598 total citations
51 papers, 406 citations indexed

About

Peng Mao is a scholar working on Building and Construction, Radiological and Ultrasound Technology and Artificial Intelligence. According to data from OpenAlex, Peng Mao has authored 51 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Building and Construction, 7 papers in Radiological and Ultrasound Technology and 7 papers in Artificial Intelligence. Recurrent topics in Peng Mao's work include Sustainable Building Design and Assessment (10 papers), Building Energy and Comfort Optimization (9 papers) and Occupational Health and Safety Research (7 papers). Peng Mao is often cited by papers focused on Sustainable Building Design and Assessment (10 papers), Building Energy and Comfort Optimization (9 papers) and Occupational Health and Safety Research (7 papers). Peng Mao collaborates with scholars based in China, Australia and Hong Kong. Peng Mao's co-authors include Jie Li, Yongtao Tan, Hongyang Li, Lilin Xiong, Rubing Wang, Xiaoxiao Xu, Xiang Wang, Hui Liu, Jingfeng Yuan and Hui Liu and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Energy.

In The Last Decade

Peng Mao

47 papers receiving 392 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Peng Mao	135	69	67	47	45	51	406
Steven Schuldt	192 1.4×	119 1.7×	32 0.5×	19 0.4×	31 0.7×	30	447
Hang Yan	152 1.1×	29 0.4×	74 1.1×	37 0.8×	27 0.6×	30	473
Ahmad Rasdan Ismail	70 0.5×	43 0.6×	41 0.6×	33 0.7×	83 1.8×	91	455
Linyan Chen	176 1.3×	17 0.2×	25 0.4×	40 0.9×	34 0.8×	30	407
Raha Sulaiman	222 1.6×	51 0.7×	41 0.6×	11 0.2×	131 2.9×	38	417
Badr Saad Alotaibi	240 1.8×	46 0.7×	96 1.4×	11 0.2×	19 0.4×	40	449
Philip Agee	223 1.7×	23 0.3×	75 1.1×	22 0.5×	58 1.3×	32	417
Serik Tokbolat	222 1.6×	20 0.3×	55 0.8×	13 0.3×	61 1.4×	37	371
Masa Noguchi	241 1.8×	39 0.6×	91 1.4×	5 0.1×	38 0.8×	58	410
Zhijiang Wu	127 0.9×	70 1.0×	11 0.2×	62 1.3×	27 0.6×	27	410

Countries citing papers authored by Peng Mao

Since Specialization

Citations

This map shows the geographic impact of Peng Mao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peng Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Mao more than expected).

Fields of papers citing papers by Peng Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peng Mao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peng Mao. The network helps show where Peng Mao may publish in the future.

Co-authorship network of co-authors of Peng Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Mao. A scholar is included among the top collaborators of Peng Mao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng Mao. Peng Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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